TRUE OF FALSE 14) The sigmoid function uses the net amount of excitation as its argument. [ ] 15) The backpropagation algorithm is used to find the global minimum of the error function. [ ] 16) Normalization fumction is (Xi – min(X) / (Max (X) –Min(X)) [ ] 17) Neurons in the hidden layer can’t be observed through the input/output behaviour of the network. [ ] 18) Multi-layer feed-forward networks can learn any function provided they have enough units and time to learn [ ]

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Disjoint set forest

The concept of the disjoint set forest was introduced by Bernard A. Galler and Michael J. Fischer in 1964. The disjoint set forest is a method of implementing disjoint sets quickly. In the disjoint-set forest, each tree member points only to its parent. The root of every tree includes its representative and its parent. The disjoint set forest is a special kind of forest that performs Union and Find operations in near-constant amortized time.